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Nuclear stability and transcriptional directionality separate functionally distinct RNA species

Robin Andersson, Peter Refsing Andersen, Eivind Valen, Leighton J. Core, Jette Bornholdt, Mette Boyd, Torben Heick Jensen () and Albin Sandelin ()
Additional contact information
Robin Andersson: The Bioinformatics Centre, University of Copenhagen
Peter Refsing Andersen: Centre for mRNP Biogenesis and Metabolism
Eivind Valen: University of Bergen
Leighton J. Core: Cornell University
Jette Bornholdt: The Bioinformatics Centre, University of Copenhagen
Mette Boyd: The Bioinformatics Centre, University of Copenhagen
Torben Heick Jensen: Centre for mRNP Biogenesis and Metabolism
Albin Sandelin: The Bioinformatics Centre, University of Copenhagen

Nature Communications, 2014, vol. 5, issue 1, 1-10

Abstract: Abstract Mammalian genomes are pervasively transcribed, yielding a complex transcriptome with high variability in composition and cellular abundance. Although recent efforts have identified thousands of new long non-coding (lnc) RNAs and demonstrated a complex transcriptional repertoire produced by protein-coding (pc) genes, limited progress has been made in distinguishing functional RNA from spurious transcription events. This is partly due to present RNA classification, which is typically based on technical rather than biochemical criteria. Here we devise a strategy to systematically categorize human RNAs by their sensitivity to the ribonucleolytic RNA exosome complex and by the nature of their transcription initiation. These measures are surprisingly effective at correctly classifying annotated transcripts, including lncRNAs of known function. The approach also identifies uncharacterized stable lncRNAs, hidden among a vast majority of unstable transcripts. The predictive power of the approach promises to streamline the functional analysis of known and novel RNAs.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms6336

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DOI: 10.1038/ncomms6336

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